CC* Integration-Large: Husker-Net: Open Nebraska End-to-End Wireless Edge Networks
CC* 大型集成:Husker-Net:开放内布拉斯加州端到端无线边缘网络
基本信息
- 批准号:2321699
- 负责人:
- 金额:$ 87.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-10-01 至 2025-09-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The lack of network and computing infrastructure in the Midwest have been enlarging the digital and economic gap between urban and rural America. University of Nebraska-Lincoln (UNL) is the primary research university in Nebraska (an EPSCoR state) and has a broad range of research activities in various locations across Nebraska, including precision agriculture, autonomous driving, and Internet of things. Existing wireless connectivity solutions, e.g., LoRaWAN, WLAN, and commercial cellular, cannot support diverse research projects in the field, in terms of coverage, throughput, flexibility, cost-efficiency, and performance assurance. This project outlines a novel open end-to-end cellular edge network (Husker-Net) by designing, deploying, and operating private 5G network over a light-licensed CBRS spectrum in multiple UNL campuses. Husker-Net is featured with ultra-low operating cost with open-source modules, flexible deployment with both wired and wireless backhaul (e.g., LEO in mid of Nebraska), and zero-touch management with automatic model-free algorithms. To achieve Husker-Net, this project will 1) design a new convergent RAN-Edge-CN architecture with open-source RAN, Edge, and CN modules, 2) design new cost-efficient RAN and CN virtualization techniques with isolated virtualized resources, and 3) design a new model-free resource allocation algorithm to support co-existed research projects via end-to-end network slicing with assured performances. The derived solutions and real-world operation datasets in Husker-Net will be open sourced to promote the openness of cellular networks and broader access by the research community. Husker-Net will support more than 10 research projects across multiple departments at UNL with the assistance of ITS, and continue exploring more projects along with the Office of Research & Economic Development (ORED). Based on Husker-Net, a campus-wide education experimental platform will be developed for serving a series of undergraduate- and graduate-level courses at UNL. Husker-Net will serve as the exemplary platform for the evaluation and testing of private networks for the Midwest states.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
中西部网络和计算基础设施的缺乏一直在扩大美国城乡之间的数字和经济差距。内布拉斯加大学林肯分校(UNL)是内布拉斯加州(EPSCoR州)的主要研究型大学,在内布拉斯加州各地开展广泛的研究活动,包括精准农业,自动驾驶和物联网。现有的无线连接解决方案,例如,LoRaWAN、WLAN和商用蜂窝网络在覆盖范围、吞吐量、灵活性、成本效益和性能保证方面无法支持该领域的各种研究项目。该项目概述了一种新型的开放式端到端蜂窝边缘网络(Husker-Net),通过在多个UNL校园的光许可CBRS频谱上设计,部署和运营专用5G网络。Husker-Net具有超低运营成本、开源模块、有线和无线回传灵活部署(例如,位于内布拉斯加州中部的LEO),以及采用自动无模型算法的零接触管理。为了实现Husker-Net,该项目将1)设计一个新的融合RAN-Edge-CN架构,其中包含开源RAN,Edge和CN模块,2)设计具有隔离虚拟化资源的新的经济高效的RAN和CN虚拟化技术,以及3)设计一个新的无模型资源分配算法,通过端到端网络切片支持共存的研究项目,并确保性能。Husker-Net中的衍生解决方案和实际操作数据集将开源,以促进蜂窝网络的开放性和研究界的更广泛访问。Husker-Net将在ITS的协助下支持UNL多个部门的10多个研究项目,并继续与研究经济发展办公室(ORED)一起沿着探索更多的项目。基于Husker-Net,将开发一个全校范围的教育实验平台,为UNL的一系列本科和研究生课程服务。Husker-Net将作为评估和测试中西部州专用网络的示范平台。该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Qiang Liu其他文献
Effect of Cutting Parameters on Minimum Quantity Lubrication Machining of High Strength Steel
切削参数对高强度钢微量润滑加工的影响
- DOI:
10.4028/www.scientific.net/msf.626-627.387 - 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
L. Yan;S. Yuan;Qiang Liu - 通讯作者:
Qiang Liu
Fluorescence enhancement of gold nanoclusters via Zn doping for biomedical applications
通过锌掺杂增强金纳米团簇的荧光用于生物医学应用
- DOI:
10.1039/c7ra13072d - 发表时间:
2018-02 - 期刊:
- 影响因子:3.9
- 作者:
Yanqing Qiao;Ying Liu;Haixia Liu;Yonghui Li;Wei Long;Junying Wang;Xiaoyu Mu;Jing Chen;Haile Liu;Xueting Bai;Lingfang Liu;Yuan-Ming Sun;Qiang Liu;Meili Guo;Xiao-Dong Zhang - 通讯作者:
Xiao-Dong Zhang
A Kind of Broadband Polarization Filter Based on Photonic Crystal Fiber with Nanoscale Gold Film
一种基于纳米金膜光子晶体光纤的宽带偏振滤光片
- DOI:
10.1007/s11468-016-0274-6 - 发表时间:
2017 - 期刊:
- 影响因子:3
- 作者:
Guangyao Wang;Shuguang Li;Xinyu Wang;Yunyan Zhao;Qiang Liu;Jianchen Zi;Hui Li;Hailiang Chen - 通讯作者:
Hailiang Chen
Compact broadband circularly-polarized directional universal GNSS antenna with symmetric radiation pattern and stable near-zenith coverage
紧凑型宽带圆极化定向通用 GNSS 天线,具有对称辐射方向图和稳定的近天顶覆盖
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:1.7
- 作者:
Qiang Liu;Yong Li;Zhiguang Mo;Yuanan Liu - 通讯作者:
Yuanan Liu
Low-Cost, High-Strength Cellulose-based Quasi-Solid Polymer Electrolyte for Solid-State Lithium-Metal Batteries.
用于固态锂金属电池的低成本、高强度纤维素基准固态聚合物电解质。
- DOI:
10.1002/anie.202302767 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Dai;H. Xiea;Qiang Liu;Kexin Mu;Zhennuo Song;Weijian Xu;Lei Tian;Caizhen Zhu;Jian Xu - 通讯作者:
Jian Xu
Qiang Liu的其他文献
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{{ truncateString('Qiang Liu', 18)}}的其他基金
CAREER: Stein Variational Gradient Descent: A New Foundation for Inference
职业生涯:斯坦因变分梯度下降:新的推理基础
- 批准号:
1846421 - 财政年份:2019
- 资助金额:
$ 87.5万 - 项目类别:
Continuing Grant
CRII: RI: Anytime Inference with Confidence Bounds for Graphical Models
CRII:RI:图形模型的随时推理与置信界限
- 批准号:
1830161 - 财政年份:2018
- 资助金额:
$ 87.5万 - 项目类别:
Standard Grant
CRII: RI: Anytime Inference with Confidence Bounds for Graphical Models
CRII:RI:图形模型的随时推理与置信界限
- 批准号:
1565796 - 财政年份:2016
- 资助金额:
$ 87.5万 - 项目类别:
Standard Grant
Common Application Platform for Low Voltage Network Management
低压网络管理通用应用平台
- 批准号:
EP/N508421/1 - 财政年份:2015
- 资助金额:
$ 87.5万 - 项目类别:
Research Grant
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